Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Learning with Noisily-labeled Class-imbalanced Data


Nov 20, 2022
Manyi Zhang, Chun Yuan, Jun Yao, Weiran Huang

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding


May 30, 2022
Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards the Generalization of Contrastive Self-Supervised Learning


Nov 01, 2021
Weiran Huang, Mingyang Yi, Xuyang Zhao

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis


Mar 05, 2021
Jiaye Teng, Weiran Huang

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method


Oct 22, 2020
Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

New Interpretations of Normalization Methods in Deep Learning


Jun 16, 2020
Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

Add code

* Accepted by AAAI 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Locally Differentially Private (Contextual) Bandits Learning


Jun 01, 2020
Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

Add code

* 19 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Boosting Few-Shot Learning With Adaptive Margin Loss


May 28, 2020
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang

Add code

* Accepted by CVPR 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Meta-Learning PAC-Bayes Priors in Model Averaging


Dec 25, 2019
Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

Add code

* Accepted by AAAI 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction


Nov 14, 2019
Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan

Add code

* 8 pages, in submission to IEEE Transactions on Knowledge and Data Engineering 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>